Engineering Manager - Machine Learning Operations

Join headway as a Senior Machine Learning Engineer and make a significant impact in the field of machine learning and artificial intelligence. In this role, you will leverage your expertise to develop innovative solutions, improve existing algorithms, and collaborate with cross-functional teams to drive forward our mission of transforming the healthcare experience.

Who is Nexxen?Nexxen is revolutionizing the advertising landscape with a data-driven approach that empowers advertisers, agencies, publishers, and broadcasters globally. Our innovative technology framework unifies a demand-side platform (DSP) and supply-side platform (SSP), anchored by the Nexxen Data Platform, to deliver meaningful advertising solutions.Why become a part of the Nexxen team?Join us in our mission to transform advertising through our flexible and creative solutions. At Nexxen, we value a culture that emphasizes the 3Cs - Customer Centricity, a Curious Mindset, and Collaboration without Ego. Become part of a dynamic team that thrives on commitment and ingenuity.Your Safety is Our PriorityAt Nexxen, we prioritize the safety and well-being of our employees. We are vigilant against online scams and fraudulent job postings. Please note that we will never ask for payment as a condition of employment or promote dubious financial schemes. If you encounter any suspicious communications, contact us at infosec@nexxen.com. Your trust is paramount; stay safe and informed.Position OverviewAs a Senior Machine Learning Engineer, you will join our Applied Data Science group within the Nexxen DSP Software Development team. This hands-on role involves collaborating closely with data scientists to develop cutting-edge data science infrastructure aimed at real-time performance optimization and machine learning applications. The ideal candidate will possess extensive experience in implementing machine learning technologies or data-driven algorithms, and should display a proactive and innovative mindset.We operate in a hybrid model, with team members working three days a week at our New York office and remotely for the remainder of the week.Key Responsibilities:Design and develop high-performance, large-scale services for Nexxen DSP programmatic integrations and platform products.Drive innovative solutions and implement machine learning algorithms for enhanced performance.

Join SoundCloud, a leading platform that enables artists and fans to connect and share their passion for music. Established in 2007, our artist-first approach empowers creators to develop their careers with innovative tools, services, and resources. With a catalog featuring over 400 million tracks from 40 million artists, the future of music is unfolding at SoundCloud. We are seeking a Senior Machine Learning Engineer to become an integral member of our Reco-Core team. This role presents an exciting opportunity to influence and steer the machine learning initiatives for one of SoundCloud's most essential product areas. You will collaborate closely with machine learning, data, and backend engineers to design, implement, and deploy models that facilitate music discovery for millions of users across our extensive audio catalog.Key Responsibilities:Create and deploy comprehensive machine learning solutions for recommendation systems, focusing on candidate generation, personalization, user and item modeling, and ranking algorithms.Oversee the entire machine learning lifecycle, from prototyping and evaluation to deploying scalable models and monitoring performance in production.Enhance and expand the foundation for ML engineering and MLOps within the Reco-Core team, establishing best practices and developing tools for rapid iteration.Collaborate with analysts and data scientists to convert research findings into production-ready systems.Work alongside fellow ML engineers to utilize shared infrastructure and collective expertise.

About the RoleAt Zencastr, we are dedicated to creating innovative end-to-end AI systems and core microservices that revolutionize the podcasting landscape. By harnessing the latest technologies, we aim to enhance the user experience for millions of podcast creators and listeners every day.We invite an exceptional Senior Machine Learning Engineer to become a vital member of our dynamic team. In this role, you will engage in large-scale machine learning projects aimed at enriching the podcast creation journey for Zencastr users.You will collaborate with a group of dedicated engineers who are enthusiastic about understanding the factors that influence long-term user satisfaction with Zencastr. Your contributions will help shape our recommendations and content strategies. As a key player in the team, you will work alongside research scientists and data professionals to prototype and implement cutting-edge machine learning solutions that intertwine speech processing with user satisfaction.Key ResponsibilitiesDesign, research, and develop pioneering machine learning applications and algorithms to enhance the experiences of podcasters and their audiences globally.Collaborate with cross-functional teams to create new product features that enhance Zencastr's machine learning services.Advance audio and text capabilities within the machine learning team.Engage with leading experts in signal processing.Ideal Candidate ProfileA Master's degree or higher in Machine Learning, Mathematics, Computer Science, or a related quantitative discipline.A minimum of 5 years of experience in Python programming.At least 3 years of experience in machine learning research, particularly with a focus on speech processing.3+ years of experience in training and deploying neural networks.Extensive experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn.Proficiency in building and maintaining production-ready machine learning systems.Ability to lead the design and implementation of significant software components and features.A passion for rapidly building model prototypes.Familiarity with cloud platforms such as Google Cloud, AWS, or Modal.A proactive mindset with the ability to spearhead projects and foster positive collaborations with partners and colleagues.

Join our innovative Match Team as a Senior Machine Learning Engineer at Enigmaio, where you will play a pivotal role in developing advanced algorithms and models that enhance our matching capabilities. You will collaborate with cross-functional teams to design, implement, and optimize machine learning solutions that drive business outcomes.

Trunk Tools seeks a Senior Machine Learning Engineer to join its team onsite in New York City. This role centers on creating and deploying models that drive the company’s main objectives. Working alongside colleagues from various backgrounds is a key part of the job. Responsibilities Design and build machine learning models for practical use cases Collaborate with cross-functional teams to gather requirements and deliver effective solutions Deploy models into production environments and monitor their scalability Work Location This position is based at the Trunk Tools headquarters in New York City. Regular onsite presence is required.

About UsZeroMark is at the forefront of developing cutting-edge, AI-driven counter-drone systems designed for real-world combat scenarios. We prioritize practical solutions over theoretical discussions, delivering technology that has been rigorously tested and proven in the field.With a remarkable growth trajectory, having doubled our revenue year over year for two consecutive years, we continue to secure contracts that highlight our commitment to innovation that truly works. Our systems are transforming conventional weapons into AI-enhanced platforms capable of detecting, tracking, and neutralizing drone threats effectively and efficiently.What sets us apart? Our operators engage directly with the technology in the field, validating systems from Blackhawk helicopters and training alongside elite Tier-1 units. Our testing grounds range from the expansive fields of White Sands to the dramatic cliffs of Hawaii. We embody the spirit of hands-on innovation and practical solutions. If you have a sense of humor and a thick skin, you might just fit in with our team.If you're ready to make a tangible impact while enjoying a few unforgettable afternoons in the field, we encourage you to reach out. We are dedicated to deploying effective, field-tested technology rather than just talking about it.

About TennrAt Tennr, we are transforming the way healthcare referrals are managed. When patients are referred to specialists, they often face frustrating delays. Our innovative platform, powered by RaeLM™, ensures that every referral is processed swiftly and accurately, allowing healthcare providers to capture more referrals and reduce denials. Join us in revolutionizing the healthcare experience.About the RoleAs the pioneering ML Ops Engineer at Tennr, you will be instrumental in developing and refining our Machine Learning and AI infrastructure. You will be responsible for creating and optimizing machine learning training and inference pipelines that can manage escalating traffic demands and an expanding range of products. Your expertise will ensure that our AI-driven healthcare platform operates on robust, scalable, and efficiently deployed models.Our Machine Learning team is at the forefront of innovation, developing proprietary VLMs, LLMs, and other specialized models tailored to address critical healthcare challenges. This is not just a position of maintaining existing systems; it is an opportunity to lead groundbreaking experimentation and the introduction of new capabilities. Your contributions will significantly impact our ML and data systems, enhancing Tennr's ability to solve vital issues for patients and healthcare providers.Key ResponsibilitiesDesign, architect, and implement scalable ML software systems for model deployment and management.Maintain infrastructure that supports efficient ML operations, including data pipelines, model evaluations, and large-scale training.Work collaboratively with ML engineers, software developers, and cross-functional teams to integrate models seamlessly with data pipelines and products.Identify and resolve production issues while continuously enhancing system performance and efficiency.Develop tools for online and offline evaluation of ML and LLM systems.

At SoundCloud, we are dedicated to fostering connections between artists and fans through the power of music. Established in 2007, SoundCloud is a trailblazing platform designed for artists, offering innovative tools, services, and resources to help them flourish in their careers. With a library of over 400 million tracks from 40 million artists, we are shaping the future of music. We are on the lookout for an exceptional leader in Machine Learning to spearhead the next phase of Musical Intelligence at SoundCloud. As a Senior Principal Engineer, you will leverage your extensive technical expertise and strategic vision to propel the development of advanced recommendation, personalization, and search systems. Your mission is to architect systems that derive high-fidelity insights from user interactions within the world’s largest audio dataset, enhancing the connection between artists and fans. You will set the technical direction for ML across engineering, delivering impactful data-driven products while leading and mentoring a high-performing team of Engineers and Scientists. This pivotal role reports to the Chief Technology Officer and collaborates closely with the Music Intelligence, Content, and Recommendations teams. You will also be instrumental in developing agentic workflows and LLM-assisted systems that will enable us to deploy Musical Intelligence at unprecedented speeds.

About SandbarSandbar is a pioneering technology company based in New York City, dedicated to enhancing human capabilities in an agentic world. Our mission is to empower individuals to think, act, and move with freedom. Our innovative team has developed software, machine learning, and hardware solutions that have been instrumental in the success of leading companies such as Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.Our flagship product, Stream, represents a groundbreaking human-agent interface—a private voice ring and conversational computer. Stream has garnered attention in prestigious publications like the Wall Street Journal, Bloomberg, and Wired, with shipments set to commence in Summer '26.We invite you to join us in shaping a new paradigm for self-augmentation.

Confido is revolutionizing the AI infrastructure that empowers Consumer Packaged Goods (CPG) brands by streamlining critical processes from deduction to production planning. Our integrated platform unifies cash application, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics. This integration results in significant time savings, enhanced decision-making, and accelerated scaling capabilities.With over 200 trusted brands managing more than $20 billion in revenue—including notable names like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana—Confido has demonstrated exceptional growth. Recently, we secured a $15 million Series A funding round led by Footwork Ventures and Y Combinator to further drive our expansion.As a Senior Machine Learning / AI Engineer, you will play a pivotal role in developing the AI systems that form the backbone of the Confido platform. Your responsibilities will span from LLM-powered document understanding to creating predictive models that assist brands in making informed decisions.You will collaborate closely with engineering and product teams to transition AI capabilities from research into practical applications.

About the Role current81 is looking for a Senior Software Engineer focused on Applied Machine Learning to join the team in New York, NY. This position centers on building machine learning solutions that support business goals and improve how users interact with our products. What You Will Do Design and implement machine learning models for real-world applications Work with teams across engineering, product, and data to deliver practical ML features Apply advanced algorithms and data analysis to solve business challenges

Join Hinge – The Dating App Designed to Be DeletedIn an era where forging genuine connections is increasingly challenging, Hinge is committed to fostering meaningful relationships and reducing loneliness. Our obsession lies in understanding user behavior to facilitate love, with our success measured by a straightforward yet vital metric – helping users set up great dates. With millions of users worldwide, we've established ourselves as the most reliable platform for finding relationships.About the OpportunityAs a key member of Hinge’s AI Platform Core team, you will play a pivotal role in shaping and enhancing our evolving Machine Learning platform. This position focuses on accelerating the development, deployment, and operation of AI-driven features within Hinge. If you are passionate about tackling challenges such as optimizing our training and serving frameworks for real-time predictions, implementing automatic model performance monitoring systems, and architecting generative AI solutions, we invite you to explore this opportunity!Our mission is to democratize AI at Hinge, ensuring it remains accessible, robust, scalable, cost-effective, and trustworthy. You will collaborate closely with product and platform teams and engage with external stakeholders, including data scientists and backend engineers. By understanding the needs of our internal customers, you will deliver incremental value aligned with their challenges. In a small, impactful team, you’ll have a broad scope of responsibilities and the chance to significantly influence the future of Machine Learning at Hinge.

Why Choose Charlie Health?Across the nation, countless individuals are facing mental health challenges, substance use disorders, and eating disorders. Unfortunately, many encounter obstacles to obtaining the care they need, such as limited local options and lengthy wait times. Behavioral healthcare often fails to provide the personalized support that individuals require, leaving them feeling overlooked and unsupported.At Charlie Health, our mission is to transform this landscape. We strive to connect individuals to crucial behavioral health treatment through personalized, virtual care that fosters connections between clients and clinicians, care teams, loved ones, and their supporting communities. By prioritizing those with complex needs, we are enhancing access to significant care and achieving improved outcomes—all from the comfort of home.As a rapidly expanding organization, we are reaching more communities daily, and we are assembling a team dedicated to redefining behavioral health treatment. If you are eager to leverage your skills to create meaningful change and help individuals access the care they deserve, we invite you to join us.About the RoleCharlie Health is a leader in high-acuity virtual behavioral care, having provided life-saving treatment to over 100,000 clients across the nation. Our Matching and Outcomes team is responsible for developing products that assess and enhance clinical outcomes, including systems for provider recommendations and clinical decision support tools, ensuring effective treatment. You will design predictive models and workflows to connect patients with the most suitable therapists and peers, enabling clinicians to customize care to meet each client's unique needs. The systems you develop will empower clinicians to condense and synthesize insights from our clients and providers into actionable guidance at every step. If you are passionate about utilizing data-driven insights to enhance outcomes, this team is for you.

Join Our TeamAt Unity, we are pioneering a cutting-edge ad-tech ecosystem that connects billions of users with the games and experiences they cherish. The Advertiser Growth team is integral to this vision, managing the online ads delivery stack, including auction, pacing, and bidding systems. As a Senior Machine Learning Engineer, you will play a crucial role in modernizing our core infrastructure and developing the backend systems for next-generation AI agents that transform the campaign experience. This position provides the opportunity to tackle intricate system challenges at a massive scale while directly impacting Unity's revenue growth.

Join Hinge: The Dating App Designed for Lasting ConnectionsIn an increasingly digital landscape, fostering authentic relationships can be challenging. At Hinge, we are committed to nurturing intimate connections and creating a world where loneliness is a thing of the past. Our passion lies in analyzing user behaviors to facilitate meaningful matches, and our success is measured by one key outcome – facilitating incredible dates. As a globally recognized platform with millions of users, we pride ourselves on being the most reliable choice for finding genuine relationships.Position Overview: The Dating Outcomes team plays a pivotal role in ensuring users discover their most compatible matches, enhancing their profiles for better visibility, and initiating significant conversations upon matching. In essence, we empower users to embark on extraordinary dates!We are seeking experienced Senior Machine Learning Engineers to pioneer an AI-driven dating experience by utilizing cutting-edge technologies and Hinge’s rich historical preference data. You will be responsible for developing end-to-end recommendation systems, experimenting with large language models (LLMs), and employing photo and mixed input embedding techniques. Additionally, you will design and implement real-time predictive models that have a direct impact on the experiences of millions of users. This is a rapidly evolving team where you will have the chance to shape the strategy, vision, and roadmap for advancing machine learning at Hinge.

Point72 is seeking a highly skilled Senior Software Engineer specializing in Machine Learning to join our dynamic team in New York. In this pivotal role, you will leverage your expertise in software development and machine learning to create innovative solutions that drive our business forward. You will collaborate with data scientists and other engineers to develop scalable machine learning models, ensuring seamless integration with our existing systems.Your contributions will directly impact our investment strategies and operational efficiency, making this an exciting opportunity to influence the future of finance through technology.

Join Spotify as a Senior Machine Learning Engineer specializing in Personalization, where you will play a key role in enhancing the user experience through advanced machine learning techniques. Your expertise will directly impact how millions of users interact with our platform, helping to create tailored content that resonates with them. You will collaborate with cross-functional teams to develop, deploy, and maintain machine learning models that drive personalized recommendations.

Dandy is building technology to modernize dental practices, with a focus on delivering tools and support that help clinicians and their teams. Backed by leading venture capital firms, the company aims to create the operating system for dental offices worldwide. In this Senior Software Engineer I, Machine Learning Platform role, the focus is on bridging advanced computer vision research with reliable, production-ready systems. The position centers on designing and scaling infrastructure for large 3D datasets, orchestrating training pipelines, and supporting robust generative model deployments. Role overview Work closely with Machine Learning Engineers to build training pipelines that manage large 3D datasets, support model training, and enable ongoing model improvements. Refine internal ML components to streamline the lifecycle from data labeling and experimentation through deployment, reducing technical debt along the way. Develop and maintain cloud-native systems and tools, particularly using GCP and Kubernetes, to support the company’s 3D dental products with a focus on security, efficiency, and performance. Write clean, maintainable code and tests that align with internal best practices. Collaborate with stakeholders across Engineering to set long-term architectural goals and uphold high standards for quality. Requirements At least 5 years of experience as a Machine Learning Engineer or Software Engineer, ideally in a startup setting. Deep experience building and maintaining ML Platform components such as feature stores, model registries, or distributed training systems. Strong skills in Python-based ML frameworks like PyTorch or TensorFlow; familiarity with 3D geometric computer vision is a plus. Proven ability in large-scale data processing and developing ML data pipelines for complex model training. Strong problem-solving abilities and an interest in building solutions that improve system performance.